The Digital Platform for Resolving Problems of Ecology of Disturbed Lands for Mining Companies with Open-pit Mining Based on Remote Sensing Resources and Artificial Intelligence

I. Zenkov, E.A. Kustikova, Chin Le Hung, O.V. Silvanovich, Y. Yuronen, Yu. A. Maglinets, K. Raevich, E.I. Gerasimova, Zhenni V. Mironova, S. N. Skornyakova
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Abstract

A justification for the creation of a center for remote sensing of the Earth from space is presented in order to monitor the environmental condition of the companies producing solid minerals on a federal scale. The use of artificial intelligence elements in the search for environmentally acceptable geometric parameters of the refuse dumps is shown. The structure of an algorithm for substantiating the technologies for formation and reclamation of the refuse dumps is disclosed, considering the natural and climatic characteristics of the territories where the mineral deposits are being developed. The interaction of information flows with subjects in the ecology of the mining industry is detailed.
基于遥感资源和人工智能的露天采矿公司解决扰动土地生态问题的数字平台
为了监测联邦范围内生产固体矿物的公司的环境状况,介绍了建立空间地球遥感中心的理由。展示了人工智能元素在寻找垃圾堆场环境可接受的几何参数中的应用。考虑到正在开发矿藏的地区的自然和气候特征,披露了用于证实垃圾堆放场的形成和开垦技术的算法结构。详细介绍了信息流与采矿业生态主体之间的相互作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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